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Beschreibung
Advances in learning-based methods are revolutionizing several fields in applied mathematics, including inverse problems, resulting in a major paradigm shift towards data-driven approaches. This volume, which is inspired by this cutting-edge area of research, brings together contributors from the inverse problem community and shows how to successfully combine model- and data-driven approaches to gain insight into practical and theoretical issues.
Advances in learning-based methods are revolutionizing several fields in applied mathematics, including inverse problems, resulting in a major paradigm shift towards data-driven approaches. This volume, which is inspired by this cutting-edge area of research, brings together contributors from the inverse problem community and shows how to successfully combine model- and data-driven approaches to gain insight into practical and theoretical issues.
Zusammenfassung
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Details
Erscheinungsjahr: 2024
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: VIII
500 S.
36 s/w Illustr.
80 farbige Illustr.
36 b/w and 80 col. ill.
ISBN-13: 9783111250038
ISBN-10: 3111250032
Sprache: Englisch
Einband: Gebunden
Autor: Tatiana A. Bubba
Redaktion: Bubba, Tatiana A.
Herausgeber: Tatiana A Bubba
Hersteller: De Gruyter
Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, D-10785 Berlin, productsafety@degruyterbrill.com
Abbildungen: 36 b/w and 80 col. ill.
Maße: 240 x 170 x 15 mm
Von/Mit: Tatiana A. Bubba
Erscheinungsdatum: 18.11.2024
Gewicht: 0,965 kg
Artikel-ID: 129622400